Quantitative analysis of temporal patterns in loosely coupled active measurement results

Authors:
Marat Zhanikeev;Yoshiaki Tanaka
Affiliations:
School of International Liberal Studies, Waseda University, Tokyo, Japan;Global Information and Telecommunication Institute, Waseda University, Tokyo, Japan and Research Institute for Science and Engineering
Venue:
APNOMS'07 Proceedings of the 10th Asia-Pacific conference on Network Operations and Management Symposium: managing next generation networks and services
Year:
2007

Citing 3
Cited 0

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Comparison of public end-to-end bandwidth estimation tools on high-speed links

PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement

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Abstract

With constantly increasing complexity of active measurement methods, the issue of processing measurement results becomes important. Similarly to traditional pattern discovery, temporal patterns found in active measurement samples should be provided effective storage and means to compare to other samples. Traditional time series data mining is not applicable to temporal patterns in active measurement time series. This paper proposes a pattern discovery method based on unique features of active measurement results. The method is implemented in form of a database and is used in the paper to verify the proposed method.